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hmsr

1.0.1

Multipopulation Evolutionary Strategy HMS

0packages depend
2Kdownloads / year
75.7%test coverage
13/13checks pass

Overview

About
Maintained by Wojciech AchtelikFirst published 2023-10-122 releasesCRAN page ↗GitHub ↗

The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a dynamically-evolving data structure that provides an organization among the component populations. It is a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple R implementation with examples of using different genetic algorithms as the population engines. References: J. Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022) doi:10.1007/s11047-020-09836-w.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.44
75.7%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 252 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Downloads

2K
CRAN downloads in the past year
Rank #20,155 · ~5/day · ~165/mo
Daily download trend is not available in this view yet.
12230 days
54790 days
2K1 year
Compare downloads with other packages →
Also on97 r2u14 autocran

Repository

Repository
3Stars
0Forks
0Open issues
1Open PRs
2Releases
207Commits
2Contributors
207 commits · Last activity 2024-03-13

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/wojtacht/hms on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (5)
GAmsmmethodsuuidgraphics
LinkingTo (0)
none
Suggests (7)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Thesis advisor, Author
Copyright holders (1)
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1Latest
    2023-10-25 · current release · diff ↗
  • 1.0.0
    2023-10-12
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-10-12
Total releases
2 / 3 yrs
License
MIT + file LICENSE OSI
Download size
24 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hmsr")
Achtelik, W., AGH University of Kraków, Kozubek, M., & Smołka, M. (2023). hmsr: Multipopulation Evolutionary Strategy HMS (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.hmsr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hmsr version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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